About the Company
Upperline is headquartered in Nashville with operations across the country.
Founded in 2017, Upperline Health is the nation's largest multispecialty physician group dedicated to transforming value-based care (VBC). We are redefining how care is delivered by integrating specialty care and primary care into a patient-centered and fully coordinated VBC model – enabling earlier intervention, improving outcomes, and enhancing quality of life for our patients.
As we continue to expand, we remain committed to making high-quality, coordinated care more accessible and effective—while creating opportunities for our team to make a meaningful impact on the lives of the patients we serve.
About the Senior Data Analyst
Our organization is in a period of high growth through acquisitions. As a result, our data infrastructure, finance function, and financial processes are also growing in complexity. We are seeking a Senior Data Analyst to support the Director of Finance - Revenue Analytics, who currently serves as the critical link between Finance, Accounting, and claims-level data across our organization.
This role will provide hands-on support for Snowflake and Athena EMR-based claims data management, querying, and analyses that underpin monthly revenue recognition. Each acquisition introduces new source systems, new claims formats, new data-quality issues, and new reconciliation work — all of which compounds the workload of monthly revenue recognition. This role is being created to absorb and manage that growing volume of data maintenance, cleanup, and analysis work, to enable the Director to focus on higher-level analyses, cross-functional coordination with Finance and Accounting, and the onboarding of newly acquired entities.
What You'll Do:
- Build and maintain SQL queries, views, and data pipelines to support recurring and ad hoc reporting needs
- Query, cleanse, validate, and maintain large-scale healthcare claims datasets in Snowflake, sourced from Athena EMR and integrated systems
- Identify and resolve data quality issues, gaps, and inconsistencies, particularly those introduced by newly acquired entities and disparate source systems
- Perform detailed claims analysis, using data sets including but not limited to: eligibility, utilization, and paid/allowed amounts, to support financial and operational reporting
- Assist in preparing claims-based data and analysis that supports the monthly revenue recognition close process
- Help reconcile claims data against financial records, flagging and investigating discrepancies before they reach Finance and Accounting
- Support the Director in translating claims-level detail into a format Finance and Accounting stakeholders can use and trust
- Support the onboarding